Abstract
This paper analyzes the necessity that multigeneral quality characteristic parameters should be considered in availability modelling and optimization and then constructs an availability model including the indicators of reliability, maintainability, supportability, testability, and environmental factor. In the research process, it is assumed that the system has soft and hard failure mode, adopting mixed maintenance strategies, system delay time, and repair time, and test time are independent. On the basis of this, the single parameter, binary parameters, and multiparameters optimization were carried out with the maximum availability as the optimization function. Especially, the multiparameters availability optimization model in time dimension was designed based on particle swarm optimization. The design method was proved feasible through a numerical example, which can provide method support for the design and evaluation of general quality characteristic thresholds in the life cycle of a repairable system.
Highlights
With the progress of science and technology, the equipment configuration is becoming more and more complex and the function of general quality characteristics such as reliability and maintainability is becoming more and more important
More researchers are focused on the system instantaneous availability modelling, but the steady-state availability is most important in the engineering practice, which was an important indicator to balance costs and benefits, such as military and space systems [5,6,7]
Hajipour and Taghipour [25] proposed a model to find the optimal nonperiodic inspection interval over a finite planning horizon for two types of multicomponent repairable systems with hard-type and soft-type components and integrated the simulation model with a genetic algorithm to achieve the optimal scheme. All these papers [24, 25] assumed that reliability varies over different preventive maintenance (PM) periods and that the change is primarily generated by PM behavior, and the PM interval is determined based on the same reliability threshold and maintenance cost. ey introduced the age reduction factor, but they did not consider the impact of the environment factors on the intrinsic reliability of the system
Summary
With the progress of science and technology, the equipment configuration is becoming more and more complex and the function of general quality characteristics such as reliability and maintainability is becoming more and more important. Hajipour and Taghipour [25] proposed a model to find the optimal nonperiodic inspection interval over a finite planning horizon for two types of multicomponent repairable systems with hard-type and soft-type components and integrated the simulation model with a genetic algorithm to achieve the optimal scheme All these papers [24, 25] assumed that reliability varies over different PM periods and that the change is primarily generated by PM behavior, and the PM interval is determined based on the same reliability threshold and maintenance cost. We propose the instantaneous availability and steady-state availability of a periodically inspected system with multiple quality factors, which include the indicators of reliability, maintainability, supportability, testability, and environmental adaptability; secondly, the availability optimization model with multiparameters based on particle swarm optimization was designed in time dimension. E variables Tins and Tp are independent of each other and Tins is the test time, which includes the time of diagnostic instruments setting and is referred to as fault isolation time
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